Tackle AI

TackleAI is a software company that applies proprietary machine learning models to unstructured documents, dynamically finding, analyzing and organizing data contained in text, images, scans, emails and media without requiring per-document pre-training. The platform is positioned for document-heavy workflows in healthcare, legal, finance and defense, where it extracts fields such as diagnoses, procedures, providers, patients, ordering physicians and laboratory details and can push results into downstream systems including electronic health records.

The company organizes its offering into three products that operate as a single pipeline. TackleVision handles extraction and redaction, covering tables, handwriting, stamps, signatures and images, autonomous PII/PHI redaction for large productions and breach response, and de-duplication across productions. Medical Record Review converts records, billing, explanations of benefits and pharmacy data into searchable chronologies and treatment timelines, flags missing or inconsistent records, and supports mass tort and MDL work such as claimant screening, bellwether support and case stratification. Denial Recovery, powered by RecoveryIQ, reconciles claims against records, authorizations, policies and remittances to surface medical-necessity denials, underpayments and fee schedule discrepancies, and generates recovery packages containing demand letters, recovery math and policy citations. Every output is linked back to its source page for auditability.

Founding story

Sergio Suarez Jr. describes starting the company to address the share of enterprise information locked in unstructured documents across healthcare, business, legal, finance and military settings, citing Gartner's estimate that white-collar workers spend 30 to 40 percent of their time managing such data, and building an AI network intended to read documents the way people do at far lower cost.

Business model

B2B software sold to enterprises, described by an investor profile as B2B SaaS at the seed stage. The company sells largely turn-key, low-customization deployments that require little servicing, while also building custom solutions for certain clients such as U.S. Air Force work.

Enterprise software licensing/subscription (B2B SaaS), with custom build engagements for some government clients.

Traction

Company-reported figures include more than 400 million medical documents processed, sub-second data extraction from complex pages and over 99% precision. Third-party profiles list 41 employees (another lists a range of 11-50). Customer engagements cited include Vanderbilt University, where the platform reads and confirms the accuracy of scores on completed MOCA tests, and an HR automation project with the Virginia National Guard's 192d Wing estimated to save more than 150,000 man hours annually. In one healthcare workflow the company reports reducing processing time from 48 hours to under a second at a sub-one-percent error rate.

Latest developments

A December 2025 filing reported $3.73m raised out of a $5m offering. The current product line spans TackleVision extraction and redaction, Medical Record Review chronologies for litigation, and Denial Recovery powered by RecoveryIQ.